Bioinformatics Jobs

Overview Combatting Immune Disease Through Systems Analysis. Come join our team and help fight immune diseases. We need individuals to apply cutting edge big data approaches to study of the human immune system. We believe that understanding how the immune system is broken in diseases like cancer and autoimmunity will lead to better patient care. We are looking for highly motivated and creative... individuals who enjoy working in a multidisciplinary team-oriented environment to use Systems Biology approaches to help discover new mechanisms, biomarkers, and therapies for immune diseases. Benaroya Research Institute at Virginia Mason (BRI) is an internationally recognized medical research institute committed to finding a cure for autoimmune and immune-mediated diseases, through a combination of basic and translational research programs. This means you can contribute to scientific advances that have a direct impact on people afflicted with these diseases, including type 1 diabetes, rheumatoid arthritis, multiple sclerosis, allergies, and asthma. BRI research leadership has identified Bioinformatics as a key enabling technology, so there is broad and strong support for the analysis, and visualization of research data. Responsibilities: The Bioinformatics Group in the Center for Systems Immunology is seeking Postdoctoral Fellows. These individuals will drive project teams performing RNA-seq profiling (single cell and bulk), and/or cytometric studies (flow and mass) of immune cells in autoimmune disease and cancer. The Bioinformatics Group is broadly engaged in basic and applied studies using complex systems theory, high throughput techniques as well as mathematical and computational tools to understand the functioning of the immune system in health and disease. The group works closely with informaticians and immunologists in many groups at BRI, resulting in a rich environment for quantitative, computational, and laboratory collaborations in immune disease research. Opportunities for training, conference attendance and publication are available. Qualifications: Ph.D. preferred in bioinformatics, biostatistics, or life science, with a strong understanding of biology and bioinformatics. Bioinformatician II: Ph.D: in bioinformatics, biostatistics, or other life science with a strong understanding of the principals of bioinformatics, and 3 or more years related experience; alternatively an M.S. in the above listed fields and 6 or more years experience. Bioinformatician III: Ph.D: in bioinformatics, biostatistics, or other life science with a strong understanding of the principals of bioinformatics, proven ability to develop new methodology when needed, and 6 or more years related experience; alternatively an M.S. in the above listed fields and 9 or more years experience. Knowledge of modern experimental biological science. Fundamental understanding of the application of statistics to scientific data. Experience with statistical tools (R, SAS, Matlab) and/or scripting or higher-level programming languages (Shell, Python, Perl, Java). Strong interpersonal, verbal, and written communication skills. Benaroya Research Institute at Virginia Mason (BRI) has a bold mission: Predict, prevent, reverse and cure immune system diseases, from autoimmune disease to cancer to COVID-19. We examine the immune system in both health and disease to understand how disorders start and how to rebalance the immune system back to health. Equipped with innovative tools and robust biorepositories, our team chips away at the biggest mysteries behind these conditions to work toward our vision of a healthy immune system for all. As an independent non-profit organization within Virginia Mason Franciscan Health, we collaborate with clinicians to accelerate the path from innovative lab discoveries to life-changing patient care. At BRI, each role is valued and an important contributor to the vision and mission. BRI is committed to a safe, caring and diverse workplace; as well as to taking action to further our commitments to foster inclusion, equity and belonging so employees feel comfortable bringing their full selves to work. Consider making a difference, join our team. Because together, we are Powering Possibility. Visit BenaroyaResearch.org or follow BRI’s Autoimmune Life Blog, Facebook, Instagram, LinkedIn or Twitter to learn more. Visit https://careers-benaroyaresearch.icims.com/jobs/1740/bioinformatics-research-scientist-%28bioinformatician-ii-iii%29/job to apply for this position. We strongly support and encourage applicants from diverse backgrounds including race, color, religion, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status

Specific Responsibilities • Processing and mapping raw NGS RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics datasets. • Analyzing RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics data sets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer... • Downloading and processing published and publicly available omics data sets, and integrating them with datasets generated in the lab to investigate mechanisms of gene regulation in stem cells and cancers. • Working with the PI, students and postdocs in the lab to analyze omics data sets for their projects. • Working with collaborators to analyze and process omics data. • Process data for manuscripts, talks, seminars and grants. • As needed learn new pipelines and latest methodologies in the field and apply them to lab research projects. Qualifications • Masters or equivalent degree with a record of course work or experience in bioinformatics. Applicants with a bachelor degree in bioinformatics with strong prior experience will be considered too. • Prior experience in NGS data analysis (i.e. RNA-seq, ChIP-seq, ATAC-seq, WGBS) is required. • Background in biology and genetics is preferred. About Us Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows. Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH). Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually. We have also been recognized by Forbes as one of the country's best midsize employers in 2019. Forbes ranked Einstein in the top overall nationally among midsize employers. Einstein ranked 3rd within the education category in New York State and 9th nationally among all midsize education employers. The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. The Dawlaty Laboratory at the Genetics Department and the Institute for Stem Cell and Regenerative Medicine Research of Albert Einstein College of Medicine in New York City is seeking a bioinformatician to join our team. Our research focuses on understanding the epigenetic mechanisms governing the biology of stem cells, development and cancer with an emphasis on the role of DNA modifying enzymes and chromatin modifications. We utilize embryonic stem cells, induced pluripotent stem cells and mice as model systems and combine bioinformatics, cellular and molecular approaches to study how DNA modifying enzymes reshape the epigenome and regulate cell fate, development and cancer. We are seeking a colleague with extensive expertise in NGS data analysis to analyze RNA-seq, ChIP-seq, ATAC-seq, WGBS and single cell omics datasets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer

HHMI is currently seeking a talented Bioinformatics Specialist for a full-time opportunity to join the lab of Dr. Benjamin Tu at the University of Texas Southwestern Medical Center in Dallas, TX.The Tu lab is investigating how fundamental cellular processes are coordinated with metabolism and the metabolic state of the cell. They use the budding yeast Saccharomyces cerevisiae for many of their... studies to discover fundamental regulatory principles, but are also expanding some of their findings to mammalian systems. Their research has begun to show that small molecule metabolites play very underappreciated roles in the regulation of cell growth and homeostasis. The influence and importance of the metabolic state on cell regulation are far too often overlooked; the lab aims to decipher these very mechanisms. For more information about the Tu lab, please visit https://www.utsouthwestern.edu/labs/tu/As the Bioinformatics Specialist, you will be an enthusiastic problem solver who loves science and is excited to support research projects within the lab by working with experimental biologists to do custom analyses. You will have the unique opportunity to work with a diverse group of team members within the Tu lab, collaborate with other labs on UT Southwestern’s campus, and have the ability to contribute their efforts to several different research projects. The lab also has flexibility to allow for a hybrid (on-site/remote) work schedule. Essential Duties: Perform analyses of RNA-seq, ChIP-seq, and genome/exome sequencing datasets. Perform analyses of proteomics datasets and protein conservation/alignments. Work closely with experimental biologists in the lab to do custom analyses. Write custom code for analyses as needed. Perform appropriate statistical analyses. Preparation of data figures and visualization tools. Qualifications:EducationA master’s degree in bioinformatics, computational biology, computer science, biostatistics, or a closely related area is required.Experience A minimum of 2 years of experience with RNA-seq and ChIP-seq data analysis in a laboratory environment is required. Experience and skill with at least one programming language (for example: Python, R, Java, C++, etc.) is required. Experience with data visualization is strongly preferred. Knowledge, Skills, and Abilities Ability to communicate technical information to an audience not versed in bioinformatics and/or programming. Strong interest and enthusiasm for contributing to the lab’s research. Strong written and verbal communication skills. Strong organizational, time management, and prioritization skills. Strong sense of self-motivation with an ability to work well both independently and as part of a team. Ability to work on multiple projects simultaneously. Ability to interact positively with all team members at all levels and from all backgrounds. Ability to work efficiently, meet deadlines, and be adaptable to changing priorities. Application Instructions:Please attach the following information (preferably as a single PDF document) as part of your application. Résumé/CV emphasizing prior experience Contact information for three professional references Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act

Sema4 is a patient-centered health intelligence company founded on the idea that more information, deeper analysis, and increased engagement will improve the diagnosis, treatment, and prevention of disease. Sema4 is dedicated to transforming healthcare by building dynamic models of human health and defining optimal, individualized health trajectories, starting in the areas of reproductive health... and oncology. Centrellis™, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all. Sema4 is seeking a talented, self-motivated Bioinformatics Scientist to lead cutting-edge basic and translational bioinformatics research as a member of the R&D Bioinformatics department, as well as contribute to clinical product development. You will collaborate with physician-scientists and innovative technology development labs to shed new light on disease mechanisms in various neoplasms by integrating data from novel genomic and transcriptomic assays. You will be part of an interdisciplinary team that develops wet lab assays, computational methods, pipelines, and databases to interpret large-scale human genome and transcriptome data and translate that understanding to clinical utility. You will publish the innovative results of your work to show the world how Sema4 differentiates in science and technology. RESPONSIBILITIES • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to novel discoveries on a path to clinical utility. • Design, develop, and test components of clinical NGS pipelines for oncology tests, including but not limited to liquid biopsy, single cell tests. • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusion / splicing variants, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays. • Work with wet labs to plan and design experiments to generate such data. • Contribute to development of infrastructure for integrating data from multiple NGS technologies, as well as variant annotation and interpretation. • Publish and present novel findings in academic journals and conferences. QUALIFICATIONS • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background • Hands-on experience working with NGS tools with high proficiency, including for sequence analysis and expression analysis (such as co-expression network and Bayesian inference analysis) • Strong expertise on big data analysis skills, particularly on machine learning. • Strong coding proficiency in R, Python and SQL programming languages in a Linux environment. • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds. • High self-motivation, great ability to work in both multiple-task and independent fashions. • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies. • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira). • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS. • Minimum 2 years relevant post-graduate experience

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description... Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission. OBJECTIVES/PURPOSE: • Integrate and analyze pre-clinical and clinical, internal and public domain datasets, to generate and evaluate actionable hypotheses for drug combination, new disease indications, and mechanism of action purposes. • Apply state-of-the-art machine learning and deep learning methods for clinical biomarker identification and validation, on various types of data including molecular profiling data, imaging, unstructured text data, EHR data, RWE, and more. • Support translational and clinical bioinformatics needs for key oncology cell therapy clinical projects, including high-throughput data QC, processing, analysis and integration. • Drive collaborations with internal groups, external partners, including CROs and academia for data analysis and machine learning. ACCOUNTABILITIES: • Independently represent bioinformatics function on global project teams in support of oncology cell therapy clinical science and translational research projects. • Play a leadership role in the development and review of the study synopsis, protocol, biomarker analysis plan, clinical study report, ensuring accurate and valid deliverables. • Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation. • Interact closely with biologists and clinicians to conduct analyses, data integration and data interpretation. • Identify, build, evaluate and use bioinformatic pipelines to process and QC omics data types including genomics, transcriptomics, single cell sequencing, spatial genomics, proteomics, metabolomics, immunophenotyping and other omics technologies. • Interpret preclinical and clinical datasets using appropriate computational and statistical methods. • Create visualizations, interpret high dimensional data and explain results to cross-functional teams. • Plan and coordinate computational biology activities internally and in partnership with external CROs and academic partners, including complex projects requiring collaboration with multiple members of the team and organizations. • Prepare and present comprehensive scientific reports to a full range of internal and external audiences. • Work collaboratively with data scientists and data engineering groups at DSI to enhance our computational infrastructure, user interface, query and visualization capabilities. • Writes study reports and presents data effectively in all settings and with participants of all levels of the organization. • Receives high level instructions on all work, determines methods for new assignments, works closely with manager, mentor junior staff • Determines methods for new assignments; perform literature search as needed to propose innovative solutions • Independently manages own workload • Conducts scientific presentations to internal audiences EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: • PhD degree in a scientific discipline, (with 5+ years experience for Sr. Scientist), or • MS with 5+ (10+ for Sr. Scientist) years experience, or • BS with 7+ (12+ for Sr. Scientist) years experience • Passion about science and technologies • Strong background with high dimensional data analysis derived from Next Generation Sequencing, including some of the following: RNASeq, DNASeq, epigenomics, single cell sequencing, and immune profiling data. • Strong scientific understanding of molecular biology and genomics, as well as disease biology such as cancer and immunology. • Knowledge of and experience with machine learning, deep learning, statistical inference and bioinformatic techniques. • Hands-on experience developing and implementing bioinformatic pipelines for data analysis of RNASeq, DNASeq, single cell datasets, and immunophenotyping data. • Solid knowledge of Unix/Linux, command line interfaces, and fluency in some common scripting and/or programming language (e.g., R, Python, Perl, Java, C / C++). • Familiarity with parallel computing, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e. AWS, HPC). • Theoretical knowledge of bioinformatics, computational biology; keeps current with emerging trends in bioinformatics and computational biology. • Familiarity with popular public domain data sources and API. • Experience in designing and conducting computational biology activities to meet program objectives; able to provide input on timelines and resource needs as indicated. • Able to evaluate/develop computational methods based on project needs. • Excellent problem solving, communication, presentation, and interpersonal skills. • Independent, self-starting and supportive of team-based research and able to work effectively in a matrix organization. • Ability to work in a team and influence team to make data driven decisions • Ability to search literature and come up with innovative solution to difficult problems • Background in cell/gene therapy, oncology or immunology is a plus Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. WHAT TAKEDA CAN OFFER YOU: • 401(k) with company match and Annual Retirement Contribution Plan • Tuition reimbursement Company match of charitable contributions • Health & Wellness programs including onsite flu shots and health screenings • Generous time off for vacation and the option to purchase additional vacation days • Community Outreach Programs • Empowering Our People to Shine • Discover more at takedajobs.com No Phone Calls or Recruiters Please. Absent an approved religious or medical reason, all US office-based and lab-based Takeda employees who work fully on-site or in a hybrid model (as determined by Takeda) must be fully vaccinated to work at a Takeda site or to engage with Takeda colleagues or anyone else on behalf of Takeda. US field-based employees must be fully vaccinated as a condition of employment, absent an approved religious or medical reason. US employees who work at a Takeda manufacturing facility, and those who work at a BioLife center or BioLife lab, may be subject to different guidelines. If you are contacted by a Takeda recruiter about your job application, we encourage you to seek more information on the applicable guidelines for the Business Unit/Function to which you have applied. #LI-KD1 This job posting excludes CO applicants. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Cambridge, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

About AbbVie AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its... Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. The Genomic Research Center (GRC) at AbbVie is seeking a highly motivated computational biologist/bioinformatics scientist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment of cancer. AbbVie GRC spans multiple locations and therapeutic areas. This enables our capabilities to be leveraged from the perspective of a research community: a shared code base, innovative project engagement, and an extensive mentoring and development program that combine to create a vibrant and exciting career opportunity. The successful candidate will be based at AbbVie South San Francisco site, and will have the opportunity to work in a fast-paced and highly collaborative environment to contribute to discovery and clinical development under AbbVie Tumor Targeting programs (including Antibody Drug Conjugates, CD3 Bi-specific T cell engager and CART). In addition, the candidate will contribute to presentation and publication of translational findings in peer reviewed journals, new drug applications and regulatory filings. KEY RESPONSIBILITIES: • Analysis – Interrogate large scale –omics data from both pre-clinical models and clinical samples in support of new therapeutic discoveries for the treatment of cancer. • Build – through your own efforts or by working with software engineers to develop world-class bioinformatics capabilities (genomic databases and analytics software/pipelines) to support a dynamic oncology pipeline. • Collaborative Design – you should find it inspiring to work with a wide variety of colleagues (e.g., biology, chemistry, business); understand their needs and then propose and build solutions • Presentation – use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making • Adaptability – given our diverse mission you should be able to move fluidly between different project responsibilities • Breadth – as a talented and motivated Biology Data Scientist you can contribute to a wide variety of missions related to enhancing drug discovery Qualifications • PhD. Degree in bioinformatics, computational biology, biostatistics, computer science, genetics, molecular biology or a related field; Master’s degree with typically 8 years of relevant experience; Bachelor’s degree with typically 10 years of relevant experience. • Proficient in at least one general purpose programming/data science languages including but not limited to R, Python, Julia. • Experience with common NGS data processing tools and statistical analysis. • Experience in cancer genomics. Preferred: • Good understanding of patient derived xenograft model and cancer biology. • Experience in analyzing spatial transcriptomics or CRISPR screen data • Experience in predictive modeling, Bayesian inference, and machine learning. • Develop and implement analysis workflow, software applications, and data warehouse to improve visualization, integration, and accessibility of complex genomics and clinical data. • Understand how to use and leverage containers for deploying standard pipelines (Docker, AWS Container, etc.) • Familiarity with assay technologies and algorithm principles related to bulk and single-cell RNA-Seq, WES/WGS, Mass-spec proteomics, ATAC-seq, etc. • Experiences with both preclinical and clinical development are highly valued. • Outstanding presentation and communication skills that foster collaboration and teamwork. • Creates a learning environment, open to suggestions and experimentation for improvement. Significant Work Activities N/A Travel No Job Type Experienced Schedule Full-time Job Level Code M Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic

Who We Are Generate Biomedicines, Inc. is a Flagship backed, privately-held biotechnology company on a mission to reimagine the drug discovery process through the use of cutting-edge machine learning techniques. Core to Generate’s approach is the development and application of novel machine learning algorithms to solve foundational problems in molecular and protein biology. Generate’s unique... platform seeks to drive innovation at the intersection of machine learning and biology through deep collaborations between wet lab and dry lab scientists and engineers. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! Since its inception in 2018, Generate has received over $50 million in venture funding and its board of directors includes scientific and entrepreneurial luminaries such as Frances Arnlold (Nobel prize in chemistry, 2018), Stéphane Bancel (CEO, Moderna), and Noubar Afeyan (Founder and CEO, Flagship Pioneering). Generate was founded by Flagship Pioneering, a venture creation firm based in Cambridge, MA that conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since Flagship’s launch in 2000, the firm has applied a unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, including: Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Indigo Agriculture, and Sana Biotechnology. Who We Are Generate Biomedicines, Inc. is a Flagship backed, privately-held biotechnology company on a mission to reimagine the drug discovery process to one of dynamic, data-driven generation. We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. Generate will be successful by constantly turning innovative ideas into methods, technologies, and products that solve some of the most difficult challenges with developing medicines. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! Generate was founded by Flagship Pioneering. Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. The current Flagship ecosystem comprises 37 transformative companies, including: Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Indigo Agriculture, and Sana Biotechnology. Position Summary We are seeking a Bioinformatics Engineer to advance our modeling efforts for therapeutic immunogenicity. Immunogenicity is a challenging protein property to predict, with complex underlying biology and wide-ranging data types and modeling needs. This role is an exciting opportunity to work at the rich intersection of machine learning, immunology, and protein design in a fast-paced and empowering environment. The successful candidate will explore model architectures and data processing techniques to improve our modeling capabilities, work with immunologists to incorporate novel assay data into models, and work with machine learning scientists to integrate these models into robust computational protein design workflows. Key responsibilities: • Train novel machine learning algorithms on in-house experimental data. • Build sophisticated data pipelines to process and transform novel assay data. • Research and implement ideas for new model architectures and data types. • Contribute to computational protein design workflows for candidate therapeutic proteins. • Develop and maintain production-quality code. • Present progress from scientific work in regular research meetings. Qualifications: • MS with 0+ plus years, or BS with 2+ years experience; Degree in Computational Biology, Biological Engineering, Computer Science, or a related field. • Deep experience working with biological datasets, including data normalization and interpretation of results. • Experience with machine learning and/or statistical learning techniques. • Proficiency in Python and experience with pandas/seaborn, dplyr/ggplot in R, or similar. • Understanding of diverse biological systems. Nice to have: • Experience working with modern deep learning frameworks (e.g. in PyTorch). • Familiarity with immunoinformatics research problems. • Experience working with immune assay data like ELISPOT, flow cytometry, and/or proteomics. • Fluency in software-engineering best practices in a team setting. Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto

Job ID: 1090129_RR00056583 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is... committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary The Naik lab (www.naiklab.com) at the NYU School of Medicine are seeking a highly motivated, enthusiastic individual to become part of a team of scientists investigating mechanisms of inflammatory diseases and cancers. The successful candidate will have the opportunity to interface with a wet-bench scientists and lead analyses on large datasets generated from state-of-the art next-generation sequencing technologies including single-cell approaches. The successful candidate will also interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at the NYU Langone Medical Center. This is a great opportunity to quickly acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple high-impact manuscripts. Job Responsibilities • Work closely with bench scientists to understand, analyze and help interpret their genomic data • Perform robust data quality control and validation • Manage data sets on genome browsers • Adapt genomic data analysis pipelines in a rapidly evolving research environment • Develop novel methods for multi-omics data analysis and integration • Mine databases for hypothesis generation or validating information • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) Minimum Qualifications • To qualify you must have a - M.Sc. in Bioinformatics, Systems Biology, Computer Science or related field • Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer/immunity and/or stem cells) • Ability to work independently while collaborating and assisting the team in its common research goals • Attention to detail and ability to work on multiple projects is necessary • Experience in Unix/Linux systems including HPC environments • Scripting languages: Python (preferred) or Perl • Statistical packages: R (preferred) or Matlab. • 1+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq) • 1+ years of experience creating customized sequencing analysis pipelines • Excellent communication skills with proficiency in written and oral English Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here

POSTDOCTORAL RESEARCHER IN BIOINFORMATICS POSITION SUMMARY The Furman Lab and the Buck AI Platform at the Buck Institute for Research on Aging seek an independent Postdoctoral Researcher interested in joining a highly diverse group of scientists focused on tackling aging. Proposed work will support research programs in inflammation mediated brain aging and cognitive impairment, ovarian decline... and infertility, immune dysregulation, exceptional longevity, space health, and cardiovascular aging. The goal of the Buck AI Platform is to catalyze data-enabled science and advance current knowledge on interventions and therapeutics to extend healthspan and lifespan. KEY RESPONSIBILITIES Process, integrate and analyze in-house and public domain data from various independent platforms (proteomics, genomics, phenomics, metabolomics, transcriptomics, microbiome, wearables/behavioromics). Develop statistical methods for data integration of multiscale biological data. Participate in writing research grants. Contribute to developing new models, techniques and methods applicable in the use of public sets of biological data and potentially health records as well. QUALIFICATIONS Education and Experience Deep interest for the science of aging and its connections with the immune system with particular focus on identifying interventions and therapeutics to extend human healthspan PhD in Bioinformatics, Physics, Engineering, Mathematics, Statistics, Genetics, Computer Sciences, Computational Biology or similar Significant experience with data science; specifically integration of multi-omics data Proven experience with application of machine learning and advanced statistical methods to biological datasets Proficient in SQL databases (e.g. MySQL) Competency in python and R; database development, maintaining & sharing code repositories (github, Jupyter, etc.) Research experience demonstrated through publications Specialized Skills Talent for technology, translational medicine and knowledge transfer Ability to work in a heterogeneous environment of Biologists, Bioinformaticians, Computer Scientists, Molecular Biologists Effective interpersonal and communicational skills Ability to work and think independently Effective organizational skills and ability to prioritize work to meet deadlines Aptitude for international collaborations ABOUT US Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, nonprofit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply. ADDITIONAL INFORMATION Posting will remain open until position is filled. This full time appointment is funded for 4 years with possible renewal based on availability of funds and operational needs. Competitive salary starting at $78,000/year. Benefits include health/dental/vision insurance, 401(k) with 5% match and profit sharing after one year. Collaborative work environment. Generous PTO. Work will be performed on a hybrid fashion remotely and at Buck Institute for Research on Aging in Novato, CA TO APPLY Click APPLY to submit your CV. Additionally, please send two reference letters to Mary Redwine (mredwine@buckinstitute.org